SmartPLS

Introduction to SmartPLS software

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SmartPLS is a software with graphical user interface for variance-based structural equation modeling (SEM) using the partial least squares (PLS) path modeling method. Besides estimating path models with latent variables using the PLS-SEM algorithm, the software computes standard results assessment criteria (e.g., for the reflective and formative measurement models, the structural model, and the goodness of fit) and it supports additional statistical analyses (e.g., confirmatory tetrad analysis, importance-performance map analysis, segmentation, multigroup). Since SmartPLS is programmed in Java, it can be executed and run on different computer operating systems such as Windows and Mac.

SmartPLS is the workhorse for all PLS-SEM analyses – for beginners as well as experts. Here is list of all available calculation methods. Relevant innovative algorithms will also be made available in SmartPLS within a short time. We promise.

Main contentsSee more from basic to advanced

Chapter 3: Using SmartPLS Software for Path Model Estimation

1. Introduction to the SmartPLS Software Application There are currently different versions of SmartPLS in circulation. The previous version, 2.0M3, is a freeware that has

Chapter 2: Understanding the PLS-SEM Components

1. Inner (Structural) and Outer (Measurement) Models Partial Least Squares Structural Equation Modeling (PLS-SEM) is a second-generation multivariate data analysis method that is often used

Chapter 1: Introduction to PLS-SEM

1. The Research Dilemma In any marketing research project, an ideal data set should have a large sample size and be normally distributed. Unfortunately, the

Chapter 6: Determining Measurement Model Using Confirmatory Tetrad Analysis (CTA-PLS)

1. Formative or Reflective? Determining the Measurement Model Quantitatively Designing the measurement model in PLS-SEM is not always a straight-forward task. It has been a

Chapter 5: Evaluating Model with Formative Measurement

1. Different Things to Check and Report As described earlier in this book, a model does not necessarily have reflective measurements. When working with model

Chapter 4: Evaluating PLS-SEM Results in SmartPLS

1. The Colorful PLS-SEM Estimations Diagram SmartPLS presents path modeling estimations not only in the Modeling Window but also in a text-based report31 which is

Chapter 9: Estimating Complex Models Using Higher Order Construct Modeling (HCM)

1. Case Study: Customer Survey in a Photocopier Manufacturer (B2B) Since PLS-SEM is a relatively new approach to modeling, researchers who are not familiar with

Chapter 8: Analysing Segments Using Heterogeneity Modeling

1. Something is Hiding in the Dataset In exploratory research, marketing researchers may have little knowledge about the nature of the underlying data. They need

Chapter 7: Handling Non-Linear Relationship Using Quadratic Effect Modeling (QEM)

1. Non-linear Relationship Explained Experienced researchers would agree that variables do not always hold a linear relationship as in a straight line (Hay & Morris,

Chapter 13: Recommended PLS-SEM Resources

1. Books Handbook of Partial Least Squares (PLS) and Marketing: Concepts, Methods, and Applications Editors: Vincenzo Esposito Vinzi, Wynne W. Chin, Jorg Henseler, & Huiwen

Chapter 12: New Techniques in PLS-SEM

1. Estimating Factor Models Using Consistent PLS (PLSc) The traditional PLS algorithm has its shortcomings. Dijkstra & Schermelleh-Engel (2014) argue that it overestimates the loadings

Chapter 11: Comparing Groups Using Categorical Moderation Analysis (PLS-MGA)

1. Multi-group Analysis – “Business Type” in the Photocopier Manufacturer Example Before starting this research project, Susan’s colleagues in the sales department keep telling her

Chapter 10: Mediation Analysis with SmartPLS Software

1. Customer Satisfaction (SATIS) as a Mediator The relationships among constructs in PLS-SEM can be complex and not always straightforward. To gain a better understanding